天堂视频

Programme summary

Awarding body/institution	天堂视频
Teaching institution (if different)
Owning school/department	Department of Mathematical Sciences
Details of accreditation by a professional/statutory body
Final award	MMath and BSc
Programme title	Mathematics; Mathematics with Economics; Financial Mathematics; Mathematics and Accounting and Financial Management; Mathematics and Sport Science; Mathematics with Statistics
Programme code	See Programme Structure
Length of programme
UCAS code	See Programme Structure
Admissions criteria
Date at which the programme specification was published	Sun, 02 Aug 2020 10:45:59 BST

1. Programme Aims

 

Programme Aims MAUB10 Mathematics BSc:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To provide students with in-depth training in advanced techniques of modern mathematics.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.

Programme Aims MAUM10 Mathematics MMath:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To provide students with in-depth training in advanced techniques of modern mathematics.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.
• To provide students with a solid foundation for PhD programmes in this and other Universities.

Programme Aims MAUB20 Mathematics with Economics BSc:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To provide a comprehensive education in economics and in financial mathematics.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.

Programme Aims MAUB21 Financial Mathematics BSc:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To provide a comprehensive education in financial mathematics and in economics.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.

Programme Aims MAUB23 Mathematics and Accounting and Financial Management BSc:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To develop a deep understanding and apply skills from accounting, business and financial management.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.

Programme Aims MAUB25 Mathematics and Sport Science BSc:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To introduce students to a broad sport science curriculum grounded in the study of sport, exercise science and pedagogy.
• To provide students with in-depth training in advanced techniques of modern mathematics.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.

Programme Aims MAUB29 Mathematics with Statistics BSc:

• To ensure students have a thorough grounding in the fundamental branches of mathematics and statistics and allow students to meet their own aspirations, interests and educational needs through module selection.
• To provide students with in-depth training in advanced techniques of modern mathematics.
• To enhance student's intellectual skills associated with problem solving, rigorous argument and communication of mathematical concepts.
• To prepare students to embark on research in mathematics and statistics.
• To educate new mathematicians to meet the needs of employers in industry, finance, education, academic research and public service.

2. Relevant subject benchmark statements and other external reference points used to inform programme outcomes:

• The Benchmark Statement for Mathematics, Statistics and Operational Research (MSOR)
• Framework for Higher Education Qualifications
• 天堂视频’s Learning and Teaching Strategy
• School Assessment Policy and Assessment Strategy
• Annual and Periodic Programme Review
• External Examiners’ reports
• Staff/student committees
• The particular specialisms of the School’s staff

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of all mathematics programmes, students should be able to demonstrate knowledge and understanding of:

K1       The core discipline of Calculus

K2       The core discipline of Linear Algebra

K3       The role of proof and deductive reasoning in mathematics

K4       The formulation of problems in mathematical form

K5       A range of analytical, numerical and qualitative techniques

In addition, for Mathematics BSc (MAUB10):

K6       The processes and pitfalls of mathematical approximation

In addition, for Mathematics MMath (MAUM10):

K6       The processes and pitfalls of mathematical approximation

K7       A higher-level of understanding in one or more areas of mathematics

In addition, for Mathematics with Economics BSc (MAUB20):

K14     A coherent core of economic principles

K15     The application of economics

In addition, for Financial Mathematics BSc (MAUB21):

K14     A coherent core of economic principles

K16     A coherent core of principles in finance

K17     The principles of stochastic processes and their application to financial markets

In addition, for Mathematics and Accounting and Financial Management BSc (MAUB23):

K6       The processes and pitfalls of mathematical approximation

K25     Business organisations in their technological, economic, fiscal, legal and political contexts

K26     Accounting and financial management in their major contexts, including the legal and social environments, the business entity and capital markets and the integral nature of the accounting function in the successful management of organisations.

K27     Current technical language, developments, methods, practices and issues in accounting and financial management

K28     Selected alternative techniques and practices in accounting and financial management

K29     Methods of recording and summarising economic events and preparation of financial statements

K30     Analytical tools for the effective financial management of business operations

K31     Contemporary theories of accounting and financial management and their related research evidence

In addition, for Mathematics and Sport Science BSc (MAUB25):

K6       The processes and pitfalls of mathematical approximation

K32     key subject-specific terminology, concepts and models in the core disciplines of physiology,  biomechanics, and psychology;

K33     methods, theories and empirical findings related to the study of participants (e.g. athletes, patients and the wider population) in sport and exercise contexts, and how such study informs the performance, health and well-being of stakeholders in such contexts;

K34     research design (including safety, risk, and ethical considerations), measurement techniques, and the nature and appropriate statistical analysis of data including qualitative and quantitative methods;

K35     the physiological limitations to performance in sport and exercise, and the chronic physiological adaptations (including mechanisms of adaptation) to exercise and training;

K36     the links between human nutrition, metabolism, performance and health in sport and exercise;

K37     the mechanics of human motion, especially as related to sporting performance;

K38     the mechanisms involved in the control of human movement with particular reference to sports movements;

K39     the psychological and behavioural theories and principles that relate to sport performance and exercise participation;

In addition, for Mathematics with Statistics BSc (MAUB29):

K6       The processes and pitfalls of mathematical approximation

K11     How to understand and manage variability through the science of data investigation

K12     Probability-based models and their uses for making inferences from samples.

K13     Fundamental concepts of statistics and inference

 

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of all mathematics programmes, students should be able to: 

C1       Construct and develop logical mathematical arguments with clear identification of assumptions and conclusions

C2       Comprehend problems, abstract the essentials of problems and formulate them mathematically

 

In addition, for Mathematics MMath (MAUM10):

C4       Develop and/or apply ideas in an original fashion, often within a research context

In addition, for Mathematics with Economics BSc (MAUB20):

C7       Critically analyse economic principles and problems

In addition, for Mathematics and Accounting and Financial Management BSc (MAUB23):

C10     Relate theory to practice in business and management

C12     Analyse, model and solve structured and unstructured problems

 In addition, for Mathematics and Sport Science BSc (MAUB25):

C13     apply knowledge and understanding of essential facts, key concepts, principles and theories to solve problems and debate critical issues within the subject area

C14     critically assess and interpret evidence derived from sport and exercise related enquiry;

C15     critically reflect upon approaches to the acquisition, interpretation and analysis of information in a variety of sport and exercise contexts;

C16     identify and solve scientific problems in Sport and Exercise Science;

C17     collate, critically evaluate and interpret scientific Sport and Exercise Science information and arguments in a coherent and organised way appropriately adapted to a specific type of audience;

In addition, for Mathematics with Statistics BSc (MAUB29):

C18     Describe and comment on sources of variability in data

C19     Evaluate the quality of data and data analysis

b. Subject-specific practical skills:

On successful completion of the Mathematics BSc (MAUB10) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P2       Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications

P3       Apply appropriate computer software to aid the solution of mathematical problems

On successful completion of the Mathematics MMath (MAUM10) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P2       Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications

P3       Apply appropriate computer software to aid the solution of mathematical problems

P4       Apply knowledge and problem-solving abilities in new or unfamiliar environments

On successful completion of the Mathematics with Economics BSc (MAUB20) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P3       Apply appropriate computer software to aid the solution of mathematical problems

P10     Apply core economic theory and economic reasoning to applied topics

P11     Construct economic and statistical models

On successful completion of the Financial Mathematics BSc (MAUB21) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P3       Apply appropriate computer software to aid the solution of mathematical problems

P12     Apply the techniques of stochastic analysis that are used to model financial markets

On successful completion of the Mathematics and Accounting and Financial Management BSc (MAUB23) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P3       Apply appropriate computer software to aid the solution of mathematical problems

P14     Formulate and solve problems in accounting and finance using appropriate tools

P15     Record and summarise transactions and other economic events

P16     Prepare financial statements

P17     Use appropriate analytical tools for accounting and financial management tasks

On successful completion of the Mathematics and Sport Science BSc (MAUB25) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P18     observe, record and critically evaluate human performance in a range of sport and exercise contexts;

P19     apply a broad range of laboratory and field-based practical investigative techniques to the study of sport and exercise, including data collection, data analysis, statistical evaluation, hypotheses formulating and testing;

 P20    apply health, safety and ethical considerations to sport and exercise experimentation, research and professional practice;

 P21    demonstrate effective interpersonal skills appropriate for working in sport and exercise contexts;

On successful completion of the Mathematics with Statistics BSc (MAUB29) programme, students should be able to:

P1       Select and apply appropriate mathematical tools to solve problems

P2       Apply knowledge of key mathematical concepts and topics to problems in mathematics and its applications

P3       Apply appropriate computer software to aid the solution of mathematical problems

P6       Select and apply appropriate statistical tools to solve problems

P7       Design experimental and observational studies and anaylse the data resulting from them

P8       Apply knowledge of key statistical concepts and topics to problems              

P9       Communicate the results of statistical investigation clearly and accurately

c. Key transferable skills:

On successful completion of all mathematics programmes, students should be able to:

T1        Learn independently using a variety of media

T2        Manage time effectively and organise and prioritise tasks

T3        Apply highly-developed numeracy skills in a range of contexts

T4        Work competently with IT

T5        Communicate complex information effectively

 

In addition, for Mathematics MMath (MAUM10):

T6        Study in a manner that is largely self-directed

 

In addition, for Mathematics and Accounting and Financial Management BSc (MAUB23):

T9        Communicate quantitative and qualitative information, analysis, argument and conclusions in effective ways

T10     Gather relevant data and evidence from various sources, integrate them appropriately and reference sources appropriately

T11     Critically evaluate arguments and evidence

T12     generate, organise, analyse and interpret qualitative, numerical, statistical or other forms of data effectively;

T13     demonstrate computer literacy with respect to relevant and widely used word-processing, database and analytic software packages and resources;

T14     use electronic and other resources to search for, identify and organise information from library books, journals, and appropriate online sources;

T15     work independently and in groups to solve problems, find alternative solutions, reach common goals and evaluate outcomes;

T16     deploy critical judgements and evaluations to arrive at supported conclusions;

T17     learn independently and pragmatically and take responsibility for their own learning and skill development.    

4. Programme structure

Programme title and code
Programme Code	Title	Abbreviation
MAUB10	Mathematics BSc	Math
MAUM10	Mathematics MMath
MAUB20	Mathematics with Economics	M w Ec
MAUB21	Financial Mathematics	FM
MAUB23	Mathematics and Accounting and Financial Management	MAFM
MAUB25	Mathematics and Sport Science	M & SS
MAUB29	Mathematics with Statistics	M w Stats

 

Programme UCAS Codes
Course	BSc	BSc with DPS	MMath	MMath with DPS
Mathematics	G100	G101	G103	G104
Mathematics with Economics	G1L1	G1LC
Financial Mathematics	GN13	GNC3
Mathematics and Accounting and Financial Management	G1N4	G1NK
Mathematics and Sport Science	CG61	GC16
Mathematics with Statistics	GG13	GG1H

 

 

 

Programme Structure 

Key

x          Compulsory Module

o          Optional Module

*           Module is compulsory for MMath Candidates

#          Module available to BSc candidates only

~          Only available if the candidate has not taken the same module in a previous Part.

BSc Prj      BSc Candidates must register for either MAC300 BSc Mathematics Project (20 credits) in Semesters 1 and 2 or MAC200 Mathematics Report (10 credits) in Semester 2. In order to study MAC300 candidates will normally be required to have achieved a Part B average >60%. MMath candidates do not study MAC300 or MAC200.

MMath Prj    MMath Candidates must take MACxxx Advanced Mathematics Report in Part C.

o>=n   Indicates the minimum number of optional module credits to be taken in that subject (subject indicated by first two letters of module code) excluding any compulsory modules in taht subject (if appicable).

Total Modular Weighting per Semester

Students normally study modules with a total weight of 60 in each semester.  However, in Part C, students may be allowed to study modules up to a total weight of 70 in a semester, 120 in the Part, subject to the consent of the Director of Studies. 

Optional Modules

Optional modules are subject to availability and timetable permitting.

Modules may be offered in both Parts B and C, but may only be taken in Part C if not taken in Part B. 

In accordance with the University credit framework, students in Part C of their programme may choose a maximum of 30 credits of Part B modules.  The remaining 90 credits must be from Part C modules as listed in this document.

 

4.1         Part A
Code	Module Title	Cred	Sem	Math	M w Ec	FM	MAFM	M & SS	M w Stats
MAA140	Analysis 1	10	1	x	x	x			x
MAA142	Linear Algebra 1	10	1	x	x	x	x	x	x
MAA145	Mathematical Thinking	10	1	x					x
MAA150	Mathematical Methods 1	10	1	x	x	x	x	x	x
MAA360	Computing and Numerical Methods	20	1&2	x					x
MAA240	Analysis 2	10	2	x	x	x			x
MAA242	Geometry and Groups	10	2	x					x
MAA250	Mathematical Methods 2	10	2	x	x	x	x	x	x
MAA241	Linear Algebra 2	10	2	x	x	x	x	x	x
MAA251	Mechanics	10	2	x	x	x	x	x	x
MAA270	Introductory Probability and Statistics	10	1	x	x	x	x	x	x
BSA012	Financial Accounting Fundamentals	20	1&2				x
BSA020	Microeconomics for Financial Studies	10	1				x
BSA016	Principles of Finance	10	2				x
BSA022	Macroeconomics for Financial Studies	10	2				x
BSA025	Introduction to Law	10	1				x
ECA501	Introduction to Macroeconomics	20	1 & 2		x	x
ECA502	Introduction to Microeconomics	20	1 & 2		x	x
PSA606	Anatomy and Physiology 1	20	1 & 2					x
PSA721	Introduction to Sport Biomechanics and Kinesiology	20	1 & 2					x
PSA026	Foundations of Sport and Exercise Psychology	20	2					x

 

 

 

4.2         Part B
Code	Name		Cred	Sem	Math	M w Ec	FM	MAFM	M & SS	M w Stats
MAA143	Analysis 1		10	1				x	x
MAA145	Mathematical Thinking		10	1		o
MAA360	Computing and Numerical Methods		20	1&2		o
MAA243	Analysis 2		10	2				x	x
MAB120	Communicating Mathematics		10	2	x					x
MAB130	An Introduction to Mathematics Education		10	1	o
MAB141	Analysis 3		10	1	x	o	x			x
MAB151	Mathematical Methods 3		10	1	x	x	x	x	x	x
MAB143	Rings and Polynomials		10	1	x	o				o
MAB170	Probability Theory		10	1	x	x	x	x	x	x
MAB171	Applied Statistics		10	1	o	o		o		x
MAB197	Introduction to Differential Geometry		10	1	x	o		o		o
MAB260	Advanced Numerical Methods		10	1	o					o
MAB241	Complex Analysis		10	2	x	x			x	x
MAB250	ODEs & Calculus of Variations		10	2	x	o	x	x	o	x
MAB255	Analytical Dynamics		10	2	x	o			o	o
MAB270	Statistical Modelling		10	2	o	x	x		o	x
MAB280	Introduction to Stochastic Processes		10	2	o	x	x			x
MAB298	Elements of Topology		10	2	x	o				o
xxBxxx	Another Part B level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules		10	1	o					o
xxBxxx	Another Part B level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules		10	2	o					o
BSB005	Management Accounting		20	1 & 2				x
BSB015	Company Law		10	2				x
BSB007	Financial Reporting		10	1				x
BSB029	Auditing		10	2				x
BSB027	Financial Markets and Derivatives Fundamentals		10	2				x
ECB501	Intermediate Macroeconomics		20	1 & 2		o>=20	x
ECB502	Intermediate Microeconomics		20	1 & 2		o>=20	x
ECB003	Introduction to Econometrics		20	1 & 2		o>=20
ECB004	Introduction to Financial Economics		20	1 & 2			x
PSB713	Physiology of Exercise and Training		20	1 & 2					x
PSB722	Biomechanics of Sport		20	1 & 2					x
PSB733	Expert Performance of Sport		20	1					x

 

 

 

4.3 Part C
Code	Name	Cr	Sem	Math	M w Ec	FM	MA FM	M & SS	M w Stats
MAB141	Analysis 3	10	1				o>=50	o
MAB143	Rings and Polynomials	10	1			o>=30	o>=50	o
MAB171	Applied Statistics	10	1			o>=30
MAB197	Introduction to Differential Geometry	10	1		o~>=60	o>=30	o~>=50		o~
MAB260	Advanced Numerical Methods	10	1		o>=60
MAB241	Complex Analysis	10	2			o>=30	o>=50
MAB250	ODEs and Calculus of Variations	10	2		o>=60	o>=30		o~
MAB258	Elements of Topology	10	2		o>=60	o>=30	o>=50	o	o~
MAC147	Number Theory	10	1	o	o>=60	o>=30	o>=50	o	o
MAC148	Introduction to Dynamical Systems	10	1	o		o>=30	o>=50	o	o
MAC171	Statistics for Large Data	10	1	o	o>=60	o>=30			o
MAC175	Operational Research	10	1	o	o>=60	o>=30	o>=50	o	o
MAC176	Graph Theory	10	1	o	o>=60	o>=30	o>=50	o	o
MAC180	Stochastic Methods in Finance	10	1	o	o>=60	x	o>=50		o
MAC142	Introduction to Algebraic Geometry	10	1	o	o>=60				o
MAC170	Medical Statistics	10	2	o			o>=50	o	x
MAC200	Mathematics Report	10	2	x BSc Prj
MAC2xx	Advanced Mathematics Report	10	2	xMMath Prj
MAC233	Studies in Science and Mathematics Education	10	2	o	o>=60		o>=50	o	o
MAC241	Advanced Complex Analysis	10	2	o	o>=60			o	o
MAC249	Linear Differential Equations	10	2	o*	o>=60	x	o>=50	o	o
MAC251	Vibrations and Waves	10	2	o		o>=30			o
MAC260	Elliptic Curves	10	2	o	o>=60				o
MAC281	Computational Methods in Finance	10	2	o	o>=60	x	o>=50		o
MAC297	Mathematical Biology	10	2	o		o>=30	o>=50	o	o
MAC300	BSc Mathematics Project	20	1 & 2	x BSc Prj
MAC302	Statistics Project	30	1 & 2						x
xxCxxx	Another Part C level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules	10	1	o	o	o	o		o
xxCxxx	Another Part C level Module from the University Undergraduate Catalogue subject to approval by Programme Director or a module from the University Wide Language Programme or Business School Open Modules	10	2	o	o	o	o		o
COB106	Formal Languages and Theory of Computation	10	1	o					o
BSC005	Financial Reporting: Theory and Practice	10	1				x
BSC007	Management Accounting and Control Systems	10	1				x
BSC009	Strategic Management Accounting and Performance	10	2				x
BSC015	Corporate Finance	10	2				o>=50
BSC018	Behavioural Finance	10	2				o>=50
BSC019	Multinational Financial Management	10	2				o>=50
BSC520	Business Systems	10	1				o>=50
BSC522	Entrepreneurship and Innovation	10	1				o>=50
ECC013	International Economic Relations	20	1 & 2		o>=40
ECC014	Economics of the Financial System	20	1 & 2		o>=40	o
ECC004	Financial Economics and Asset Pricing	20	1			x
ECC038	Applied Econometrics	20	1		o>=40
ECC035	Central Banking and Financial Crises	20	2		o>=40
ECC101	Developments in Macroeconomics	20	1		o>=40
ECC001	Developments in Microeconomics	20	1		o>=40
ECC005	Industrial Economics	20	2		o>=40
ECC141	Corporate Finance and Derivatives	20	2			x
PSC715	Physiology of Sport, Exercise and Health	20	1 & 2					x
PSC028	Advanced Biomechanics of Sport	20	1 & 2					x
PSCxxx	Applied Psychology in Competitive Sport	20	1 & 2					x

 

 

4.4    Part D
Code	Name	Cred	Sem	Math
MAD300	MMath Mathematics Project	30	1 & 2	x
MAD102	Regular and Chaotic Dynamics	15	1	o
MAD103	Lie Groups and Lie Algebras	15	1	o
MAD202	Nonlinear Waves	15	2	o
MAD203	Functional Analysis	15	2	o
MAP102	Programming and Numerical Methods	15	1	o
MAP103	Statistics for Large Data	15	1	o~
MAP104	Brownian Motion	15	1	o
MAP111	Mathematical Modelling I	15	1	o
MAP114	Stochastic Models in Finance	15	1	o
MAP201	Elements of Partial Differential Equations	15	2	o
MAP202	Static and Dynamic Optimisation	15	2	o
MAP203	Computational Methods in Finance	15	2	o~
MAP204	Stochastic Calculus and Theory of Stochastic Pricing	15	2	o
MAP211	Mathematical Modelling II	15	2	o
MAP213	Fluid Mechanics	15	2	o

 

5. Criteria for Progression and Degree Award

In order to progress from Part A to Part B, from Part B to C, from C to D (if applicable) and to be eligible for the award of an Honours degree, candidates must satisfy the minimum credit requirements set out in Regulation XX. 

5.1          Progression for Mathematics BSc, Mathematics with Economics BSc, Financial Mathematics BSc, Mathematics with Statistics BSc

Part A to Part B

Candidates must, in addition, achieve at least 40% in 3 out of 4 core Mathematics Modules MAA140 Analysis 1, MAA150 Mathematical Methods 1, MAA142 Linear Algebra, MAAxxx Linear Algebra 2. 

5.2          Progression for Mathematics and Accounting and Financial Management BSc

Part A to Part B; candidates must, in addition, achieve at least 40% in core Mathematics Modules MAA150 Mathematical Methods 1, MAA142 Linear Algebra 1, and MAAxxx Linear Algebra 2 and in the core Business module BSA019.

Part B to Part C; candidates must, in addition, accumulate at least 40 credits from Mathematics modules (coded MA****) and at least 40 credits from Business School modules (coded BS****) taken in Part B.  In addition candidates must achieve at least 30% in BSB005 (Management Accounting) and BSB007 (Financial Reporting).

To pass Part C; candidates must, in addition, accumulate at least 30 Credits from Mathematics modules (coded MA****) and at least 30 credits from Business School modules (coded BS****) taken in Part C. 

5.3      Progression for Mathematics and Sport Science

Part A to Part B

Candidates must, in addition, achieve at least 40% in core Mathematics Modules, MAA150 Mathematical Methods 1, MAA142 Linear Algebra 1 and MAAxxx Linear Algebra 2.

 

5.4 MMath candidates who fail at the end of Part A, B, C or Part D.

A MMath candidate may elect to enter Part B/C of the BSc degree programme in Mathematics provided that the candidate has achieved the criteria for progression required for that programme.  Failure at re-assessment will not prejudice this permission to enter the BSc degree programme subsequently.

Any MMath candidate who fails to achieve the criteria for progression from Part C to Part D shall have the opportunity to repeat Module Assessments in accordance with the provision of Regulation XX in order to qualify to progress to Part D.  The Programme Board may at its discretion award the degree of BSc in Mathematics to any candidate who has satisfied the requirements for that degree.  Failure at re-assessment will not prejudice the candidate's eligibility for such an award.

Any candidate who, having successfully completed Part C, is unable to commence or complete Part D or fails to achieve the criteria necessary for the award of the degree of MMath in Mathematics may at the discretion of the Programme Board be awarded the degree of BSc in Mathematics with a classification corresponding to the candidate's achievement in Part B and C assessments and determined on the basis of the weightings given for the BSc programme (below).

6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification

Candidates' final degree classification will be determined on the basis of their performance in degree level Module Assessments in Parts B and C (and D if applicable). The average percentage mark for each Part will be combined in the ratio specified in the following table. 

BSc Candidates	Part B : Part C	1 : 3
Mathematics MMath Candidates	Part B : Part C : Part D	1 : 3 : 4